A Coordinated Design of PSSs and UPFC-based Stabilizer Using Genetic Algorithm

This paper details a new coordinated design between power system stabilizers (PSSs) and a unified power flow controller (UPFC) using genetic algorithms (GAs). A GA scheme determines the optimal location for a UPFC while tuning its control parameters, resulting in the optimization of the quantity, parameters, and locations of PSSs under different operating conditions. The problem is formulated as a multiobjective optimization problem in order to maximize the damping ratio(s) of electromechanical modes, matching different numbers of PSSs with a UPFC. The approach is successfully tested on the New England-New York interconnected system (a 16-machine and 68-bus system), proving its effectiveness in damping local and interarea modes of oscillations.

[1]  Michael Negnevitsky,et al.  Artificial Intelligence: A Guide to Intelligent Systems , 2001 .

[2]  Graham Rogers,et al.  Power System Oscillations , 1999 .

[3]  Mohammad Ali Abido,et al.  Parameter optimization of multimachine power system conventional stabilizers using CDCARLA method , 2010 .

[4]  M. A. Abido,et al.  Coordinated design of a PSS and an SVC-based controller to enhance power system stability , 2003 .

[5]  M. A. Abido,et al.  A particle-swarm-based approach of power system stability enhancement with unified power flow controller , 2007 .

[6]  Laiq Khan,et al.  Hybrid micro-GA based FLCs for TCSC and UPFC in a multi-machine environment , 2006 .

[7]  Mahmoud Moghavvemi,et al.  Impact of UPFC-based damping controller on dynamic stability of Iraqi power network , 2011 .

[8]  S. J. Cheng,et al.  Application and comparison of computational intelligence techniques for optimal location and parameter setting of UPFC , 2010, Eng. Appl. Artif. Intell..

[9]  Mahmoud Moghavvemi,et al.  Takagi-sugeno fuzzy gains scheduled PI controller for enhancement of power system stability , 2010 .

[10]  M. A. Abido,et al.  Pole placement technique for PSS and TCSC-based stabilizer design using simulated annealing , 2000 .

[11]  Imam Robandi,et al.  Optimal feedback control design using genetic algorithm in multimachine power system , 2001 .

[12]  M. A. Abido,et al.  Robust coordinated design of excitation and TCSC-based stabilizers using genetic algorithms , 2004 .

[13]  H. F. Wang,et al.  Applications of modelling UPFC into multi-machine power systems , 1999 .

[14]  Mahmoud Moghavvemi,et al.  Current state of neural networks applications in power system monitoring and control , 2013 .

[15]  S. Gerbex,et al.  Optimal Location of Multi-Type FACTS Devices in a Power System by Means of Genetic Algorithms , 2001, IEEE Power Engineering Review.

[16]  Mahmoud Moghavvemi,et al.  Damping of low-frequency oscillations and improving power system stability via auto-tuned PI stabilizer using Takagi-Sugeno fuzzy logic , 2012 .

[17]  Amany El-Zonkoly Optimal sizing of SSSC controllers to minimize transmission loss and a novel model of SSSC to study transient response , 2008 .

[18]  Seema Singh,et al.  Placement of FACTS controllers using modal controllability indices to damp out power system oscillations , 2007 .

[19]  Therese Uzochukwuamaka Okeke,et al.  Flexible AC Transmission Systems (FACTS) , 2013, 2013 International Conference on New Concepts in Smart Cities: Fostering Public and Private Alliances (SmartMILE).

[20]  Benjamin Engel,et al.  Electric Power Applications Of Fuzzy Systems , 2016 .

[21]  Sukumar Mishra,et al.  Neural-network-based adaptive UPFC for improving transient stability performance of power system , 2006, IEEE Transactions on Neural Networks.

[22]  Mahmoud Moghavvemi,et al.  Modeling UPFC into Multi-Machine Power Systems , 2012 .

[23]  R.C. Schaefer,et al.  Understanding Power-System Stability , 2005, IEEE Transactions on Industry Applications.

[24]  H. H. Happ,et al.  Power System Control and Stability , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[25]  R. K. Ursem Multi-objective Optimization using Evolutionary Algorithms , 2009 .

[26]  Mohamed Boudour,et al.  Optimal Locations and tuning of Robust Power System Stabilizers using Genetic Algorithms , 2006 .